Publications by authors named "Alexandru I Giurgiu"
Implementation of marker-assisted selection (MAS) in modern beekeeping would improve sustainability, especially in breeding programs aiming for resilience against the parasitic mite . Selecting honey bee colonies for natural resistance traits, such as brood-intrinsic suppression of varroa mite reproduction, reduces the use of chemical acaricides while respecting local adaptation. In 2019, eight genomic variants associated with varroa non-reproduction in drone brood were discovered in a single colony from the Amsterdam Water Dune population in the Netherlands.
View Article and Find Full Text PDFBridging the Gap between Field Experiments and Machine Learning: The EC H2020 B-GOOD Project as a Case Study towards Automated Predictive Health Monitoring of Honey Bee Colonies.
Insects
January 2024
Article Synopsis
- Honey bee colonies are vital for society and the economy, but beekeepers face challenges like parasites, reduced pollen, and pesticide exposure, necessitating a better understanding of colony health.
- To address these issues, the B-GOOD project was created to develop a Health Status Index (HSI) for bee colonies by collecting and analyzing various data points related to colony health and environmental conditions.
- This project emphasizes the importance of standardized data collection and machine learning to provide beekeepers with targeted guidance and contribute to sustainable beekeeping practices.
Major progress has been made in cancer research; however, cancer remains one of the most important health-related burdens. Sericulture importance is no longer limited to the textile industry, but its by-products, such as silk fibroin or mulberry, exhibit great impact in the cancer research area. Fibroin, the pivotal compound that is found in silk, owns superior biocompatibility and biodegradability, representing one of the most important biomaterials.
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